Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Self-Discrepancy Theory02:45

Self-Discrepancy Theory

One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra. Schrödinger...
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the problem,...
Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
Self-Regulation01:25

Self-Regulation

Self-regulation, also known as self-control, encompasses a range of cognitive and behavioral processes that allow individuals to adjust their internal states and outward actions to align with socially acceptable norms and long-term goals. It plays a fundamental role in adaptive functioning, from resisting impulsive behaviors to persisting through challenging tasks. While its benefits are widely recognized, self-regulation is not limitless. Muraven and Baumeister's theory posits that...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Dendrobine alleviates lung injury in septic mice by inhibiting mitochondrial-endoplasmic reticulum crosstalk-mediated NLRP3 inflammasome activation.

Journal of pharmacological sciences·2026
Same author

Adaptive kNN graph model.

Nature communications·2026
Same author

Comparative Prognostic Assessment of EKFC Equations for Mortality Prediction: A Population-based Cohort Study.

Cardiorenal medicine·2026
Same author

Local delivery of GPC3-CAR T cells in a thermosensitive hydrogel enhances antitumor efficacy in hepatocellular carcinoma.

International immunopharmacology·2026
Same author

HetDualCL: Dual-encoder contrastive learning for heterogeneous graphs.

Neural networks : the official journal of the International Neural Network Society·2026

相关实验视频

Updated: Jul 4, 2026

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets
08:45

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets

Published on: December 5, 2014

9.1K

QSAN:一个近期可实现的量子自我注意网络.

Jinjing Shi, Ren-Xin Zhao, Wenxuan Wang

    IEEE transactions on neural networks and learning systems
    |March 3, 2025
    PubMed
    概括

    一个新的量子自我注意网络 (QSAN) 通过整合量子自我注意机制 (QSAM) 来增强量子机器学习. 这种方法显著提高了学习能力和处理大型量子数据集的效率.

    科学领域:

    • 量子机器学习 (QML) 是一种
    • 人工智能的人工智能
    • 计算机视觉 计算机视觉

    背景情况:

    • 经典的自我注意力机制 (SAM) 在特征连接方面表现出色,但在许多量子机器学习 (QML) 模型中并不存在.
    • 这种限制限制了QML对高维量子数据的可扩展性.
    • 现有的QML模型在高效处理复杂数据集方面面临着挑战.

    研究的目的:

    • 引入一个量子自我注意力机制 (QSAM) 来增强QML模型.
    • 开发一个量子自我注意网络 (QSAN),以高效地处理量子数据.
    • 为大规模应用提高QML模型的学习能力和效率.

    主要方法:

    • 开发了一种量子自我注意力机制 (QSAM),使用基于量子逻辑相似性 (QLS) 的量子位自我注意力得分矩阵 (QBSASM).
    • 设计了一种量子自我注意网络 (QSAN),用于测量时间压缩的优化量子电路.
    • 利用量子坐标的原型来定义编程的数学关系.

    主要成果:

    • 与MNIST二进制分类上的硬件效率和QAOA替代品相比,QSAN显示了显著更快的融合率 (1.7x和2.3x).
    • 在MNIST上实现了100%的预测准确性,表明了卓越的学习能力.

    更多相关视频

    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
    05:30

    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

    Published on: September 8, 2023

    472
    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    2.5K

    相关实验视频

    Last Updated: Jul 4, 2026

    A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets
    08:45

    A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets

    Published on: December 5, 2014

    9.1K
    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
    05:30

    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

    Published on: September 8, 2023

    472
    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    2.5K
  • 在CIFAR-10分类中获得高预测准确度,规模比经典模型小.
  • 结论:

    • QSAN有效地提高了QML模型的效率和学习能力.
    • 开发的QSAM和QSAN为未来对大规模数据集的量子机器学习提供了基础.
    • 这项工作促进了量子计算机视觉和其他QML驱动领域的进步.